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  1. Queen Mary University of London
  2. Research
  3. Publications

Publications: Dr Dimitrios Kollias

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Kollias D, Arsenos A, Wingate J, Kollias S ( 2025 ) . SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detection . EAI Endorsed Transactions on Pervasive Health and Technology vol. 11 ,
Hu G, Kollias D, Papadopoulou E, Tzouveli P, Wei J, Yang X ( 2025 ) . Rethinking Affect Analysis: A Protocol for Ensuring Fairness and Consistency . IEEE Transactions on Biometrics Behavior and Identity Science vol. PP , ( 99 ) 1 - 1 .
Cai Z, Dhall A, Ghosh S, Hayat M, Kollias D, Stefanov K, Tariq U ( 2024 ) . 1M-Deepfakes Detection Challenge . Conference: Proceedings of the 32nd ACM International Conference on Multimedia11355 - 11359 .
Tao J, Ghosh S, Lian Z, Cai Z, Schuller BW, Dhall A, Zhao G, Kollias D et al. ( 2024 ) . MRAC '24 Chairs' Welcome . MRAC 2024 - Proceedings of the 2nd International Workshop on Multimodal and Responsible Affective Computing
Ghosh S, Cai Z, Dhall A, Kollias D, Goecke R, Gedeon T ( 2024 ) . MRAC Track 1: 2nd Workshop on Multimodal, Generative and Responsible Affective Computing . Conference: Proceedings of the 2nd International Workshop on Multimodal and Responsible Affective Computing1 - 6 .
Arsenos A, Petrongonas E, Filippopoulos O, Skliros C, Kollias D, Kollias S ( 2024 ) . NEFELI: A deep-learning detection and tracking pipeline for enhancing autonomy in Advanced Air Mobility . Aerospace Science and Technology109613 - 109613 .
Miah H, Kollias D, Pedone GL, Provan D, Chen F ( 2024 ) . Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A Feasibility Study . Diagnostics vol. 14 , ( 13 )
Morani K, Ayana EK, Kollias D, Unay D ( 2024 ) . Detecting COVID-19 in Computed Tomography Images: A Novel Approach Utilizing Segmentation with UNet Architecture, Lung Extraction, and CNN Classifier . Intelligent Computing , vol. 1018 , Springer Nature
Senadeera DC, Yang X, Kollias D, Slabaugh G ( 2024 ) . CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive Attention . Conference: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) vol. 00 , 4888 - 4897 .
Kollias D, Arsenos A, Kollias S ( 2024 ) . Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans . Conference: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) vol. 00 , 4907 - 4914 .
Kollias D, Tzirakis P, Cowen A, Zafeiriou S, Kotsia I, Baird A, Gagne C, Shao C et al. ( 2024 ) . The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition . Conference: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) vol. 00 , 4587 - 4598 .
Karampinis V, Arsenos A, Filippopoulos O, Petrongonas E, Skliros C, Kollias D, Kollias S, Voulodimos A ( 2024 ) . Ensuring UAV Safety: A Vision-Only and Real-Time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimation . Conference: 2024 International Conference on Unmanned Aircraft Systems (ICUAS) vol. 00 , 1072 - 1079 .
Arsenos A, Karampinis V, Petrongonas E, Skliros C, Kollias D, Kollias S, Voulodimos A ( 2024 ) . Common Corruptions for Enhancing and Evaluating Robustness in Air-to-Air Visual Object Detection . IEEE Robotics and Automation Letters
Hu G, Papadopoulou E, Kollias D, Tzouveli P, Wei J, Yang X ( 2024 ) . Bridging the Gap: Protocol Towards Fair and Consistent Affect Analysis . Conference: 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG) vol. 00 , 1 - 9 .
Gerogiannis D, Arsenos A, Kollias D, Nikitopoulos D, Kollias S ( 2024 ) . Covid-19 Computer-Aided Diagnosis through AI-Assisted CT Imaging Analysis: Deploying a Medical AI System . Conference: 2024 IEEE International Symposium on Biomedical Imaging (ISBI) vol. 00 , 1 - 4 .
Morani K, Ayana EK, Kollias D, Unay D ( 2024 ) . COVID‐19 Detection from Computed Tomography Images Using Slice Processing Techniques and a Modified Xception Classifier . International Journal of Biomedical Imaging vol. 2024 , ( 1 )
Arsenos A, Kollias D, Petrongonas E, Skliros C, Kollias S ( 2024 ) . Uncertainty-Guided Contrastive Learning For Single Source Domain Generalisation . Conference: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) vol. 00 , 6935 - 6939 .
Kollias D, Sharmanska V, Zafeiriou S . Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces & Beyond . Proceedings of the AAAI Conference on Artificial Intelligence . vol. 38 , 2813 - 2821 .
Hu G, Wei J, Song S, Kollias D, Yang X, Sun Z, Kaloidas O ( 2024 ) . Robust Facial Reactions Generation: An Emotion-Aware Framework with Modality Compensation . Conference: 2024 IEEE International Joint Conference on Biometrics (IJCB) vol. 00 , 1 - 10 .
Kollias D, Vendal K, Gadhavi P, Russom S ( 2023 ) . BTDNet: A Multi-Modal Approach for Brain Tumor Radiogenomic Classification . Applied Sciences vol. 13 , ( 21 )
Chowdhury D, Das A, Dey A, Banerjee S, Golec M, Kollias D, Kumar M, Kaur G et al. ( 2023 ) . CoviDetector: A transfer learning-based semi supervised approach to detect Covid-19 using CXR images . BenchCouncil Transactions on Benchmarks, Standards and Evaluations vol. 3 , ( 2 ) Article 100119 , 100119 - 100119 .
Kollias D, Arsenos A, Kollias S ( 2023 ) . A deep neural architecture for harmonizing 3-D input data analysis and decision making in medical imaging . Neurocomputing vol. 542 ,
Kollias D, Arsenos A, Kollias S ( 2023 ) . AI-Enabled Analysis of 3-D CT Scans for Diagnosis of COVID-19 & its Severity . Conference: 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW) vol. 00 , 1 - 5 .
Arsenos A, Davidhi A, Kollias D, Prassopoulos P, Kollias S ( 2023 ) . Data-Driven Covid-19 Detection Through Medical Imaging . Conference: 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW) vol. 00 , 1 - 5 .
Kollias D ( 2023 ) . ABAW: Learning from Synthetic Data & Multi-task Learning Challenges . Lecture Notes in Computer Science . vol. 13806 , 157 - 172 .
Kollias D ( 2023 ) . Ai-mia: Covid-19 detection & severity analysis through medical imaging . Conference: European Conference on Computer Vision (ECCV)
Salpea N, Tzouveli P, Kollias D ( 2023 ) . Medical Image Segmentation: A Review of Modern Architectures . Computer Vision – ECCV 2022 Workshops , vol. 13807 , Springer Nature
Kollias D ( 2023 ) . Abaw: Valence-arousal estimation, expression recognition, action unit detection & emotional reaction intensity estimation challenges . Conference: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Kollias D ( 2023 ) . Multi-Label Compound Expression Recognition: C-EXPR Database & Network . Conference: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Papaioannou A, Gecer B, Cheng S, Chrysos G, Deng J, Fotiadou E, Kampouris C, Kollias D et al. ( 2022 ) . MimicME: A Large Scale Diverse 4D Database for Facial Expression Analysis . Lecture Notes in Computer Science . vol. 13668 , 467 - 484 .
Arsenos A, Kollias D, Kollias S ( 2022 ) . A Large Imaging Database and Novel Deep Neural Architecture for Covid-19 Diagnosis . Conference: 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP) vol. 00 , 1 - 5 .
Kollias D ( 2022 ) . A Large Imaging Database and Novel Deep Neural Architecture for Covid-19 Diagnosis . Conference: IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP)
Kollias D ( 2022 ) . ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges . Conference: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Kollias D ( 2022 ) . MixAugment & Mixup: Augmentation Methods for Facial Expression Recognition . Conference: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR))
Kollias D, Zafeiriou S ( 2021 ) . Analysing Affective Behavior in the second ABAW2 Competition . Conference: 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) vol. 00 , 3645 - 3653 .
Kollias D, Arsenos A, Soukissian L, Kollias S ( 2021 ) . MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis . Conference: 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) vol. 00 , 537 - 544 .
Kollias D, Vlaxos Y, Seferis M, Kollia I, Sukissian L, Wingate J, Kollias S ( 2021 ) . Transparent Adaptation in Deep Medical Image Diagnosis . Lecture Notes in Computer Science . vol. 12641 , 251 - 267 .
Yu M, Kollias D, Wingate J, Siriwardena N, Kollias S ( 2021 ) . Machine Learning for Predictive Modelling of Ambulance Calls . Electronics vol. 10 , ( 4 )
Kollias D, Schulc A, Hajiyev E, Zafeiriou S ( 2020 ) . Analysing Affective Behavior in the First ABAW 2020 Competition . Conference: 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020) vol. 00 , 637 - 643 .
Kollias D, Zafeiriou S ( 2020 ) . Exploiting Multi-CNN Features in CNN-RNN Based Dimensional Emotion Recognition on the OMG in-the-Wild Dataset . IEEE Transactions on Affective Computing vol. 12 , ( 3 ) 595 - 606 .
Xu J, Lytchier A, Cursio C, Kollias D, Besenbruch C, Zafar A ( 2020 ) . Efficient Context-Aware Lossy Image Compression . Conference: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) vol. 00 , 552 - 554 .
Kollias D, Cheng S, Ververas E, Kotsia I, Zafeiriou S ( 2020 ) . Deep Neural Network Augmentation: Generating Faces for Affect Analysis . International Journal of Computer Vision vol. 128 , ( 5 ) 1455 - 1484 .
Kollias D, Zafeiriou S ( 2020 ) . VA-StarGAN: Continuous Affect Generation . Lecture Notes in Computer Science . vol. 12002 , 227 - 238 .
Kollias D, Zafeiriou S ( 2020 ) . Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface . 30th British Machine Vision Conference 2019, BMVC 2019 .
Kollias D, Tzirakis P, Nicolaou MA, Papaioannou A, Zhao G, Schuller B, Kotsia I, Zafeiriou S ( 2019 ) . Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond . International Journal of Computer Vision vol. 127 , ( 6-7 ) 907 - 929 .
Kollias D, Cheng S, Pantic M, Zafeiriou S ( 2019 ) . Photorealistic Facial Synthesis in the Dimensional Affect Space . Lecture Notes in Computer Science . vol. 11130 , 475 - 491 .
Kollias D, Zafeiriou S ( 2018 ) . Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm . Conference: 2018 International Joint Conference on Neural Networks (IJCNN) vol. 00 , 1 - 8 .
Tagaris A, Kollias D, Stafylopatis A, Tagaris G, Kollias S ( 2018 ) . Machine Learning for Neurodegenerative Disorder Diagnosis — Survey of Practices and Launch of Benchmark Dataset . International Journal of Artificial Intelligence Tools vol. 27 , ( 03 )
Kollias D, Tagaris A, Stafylopatis A, Kollias S, Tagaris G ( 2017 ) . Deep neural architectures for prediction in healthcare . Complex & Intelligent Systems vol. 4 , ( 2 ) 119 - 131 .
Kollias D, Yu M, Tagaris A, Leontidis G, Kollias S, Stafylopatis A ( 2017 ) . Adaptation and Contextualization of Deep Neural Network Models . Conference: 2017 IEEE Symposium Series on Computational Intelligence (SSCI)1 - 8 .
Tagaris A, Kollias D, Stafylopatis A ( 2017 ) . Assessment of Parkinson’s Disease Based on Deep Neural Networks . Communications in Computer and Information Science . vol. 744 , 391 - 403 .
Zafeiriou S, Kollias D, Nicolaou MA, Papaioannou A, Zhao G, Kotsia I ( 2017 ) . Aff-Wild: Valence and Arousal ‘in-the-Wild’ Challenge . Conference: 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)1980 - 1987 .
Kollias D, Nicolaou MA, Kotsia I, Zhao G, Zafeiriou S ( 2017 ) . Recognition of Affect in the Wild Using Deep Neural Networks . Conference: 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)1972 - 1979 .
Kollias D, Tagaris A, Stafylopatis A ( 2016 ) . On Line Emotion Detection Using Retrainable Deep Neural Networks . Conference: 2016 IEEE Symposium Series on Computational Intelligence (SSCI)1 - 8 .
Kollias D, Marandianos G, Raouzaiou A, Stafvlonatis A-G ( 2015 ) . Interweaving Deep Learning and Semantic Techniques for Emotion Analysis in Human-Machine Interaction . Conference: 2015 10th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)1 - 6 .
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